Abstract
Predicting the outcome of seriously ill patients is a challenging problem for clinicians. One alternative to clinical trials is to analyse existing patient data in an attempt to predict the several outcomes, and to suggest therapies. In this paper we use decision tree techniques to predict the outcome of head injury patients. The work is based on patient data from the Edinburgh Royal Infirmary which contains both background (demographic) data and temporal (physiological) data.
Cite
CITATION STYLE
McQuatt, A., Andrews, P. J. D., Sleeman, D., Corruble, V., & Jones, P. A. (1999). The analysis of head injury data using decision tree techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1620, pp. 336–345). Springer Verlag. https://doi.org/10.1007/3-540-48720-4_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
